A well-explained, easy to follow course. Helped me develop confidence and familiarized me with the basic working of the most popular data science tools. Highly recommend it to all beginners in the field !!!

I have made a rock foundation after taking this class! It gives you a guide that you can expand it with other resources over the internet and books. It is an excellent guide and content is also fun as well!

It's easier than it looks. I was anxious when the mini lessons started using jargon that was unfamiliar to me. But when I started watching the demonstrations and doing the exercises, it all made more sense.

Nicely organising the course into an overall easy, digestible language as well as lots of Hands On online lab to hone requisite skills. Thanks a ton, Coursera and IBM for making learning fun and beautiful.

Very important information about the main tools, both open source and paid, that help the work of the data scientist. For someone like me who is just getting into this topic, it has been very interesting.

I learn a lot about technical things in Data Science through this Course.

Perhaps updating the lesson materials and also the current updated tools would assist the participant to learn better.

Thank you.

Excelente curso para aprender quais são as ferramentas mais utilizadas para ciência de dados. Além de fazer um Overview sobre essas ferramentas o curso vai além e dá dicas de como começar a utiliza-las.

Great introductory course to show DS enthusiasts the multitude of available tools. Part of every solution is picking the right tool for the job, therefore this course is important to pay attention to!

Great explanations, appealing presentation, I'm just very grateful this kind of quality education is accessible over the internet. Great resource for anyone that has serious interest in Data Science!

ONE CAN ACQUIRE BEAUTIFUL KNOWLEDGE TO THE TOOLS USED BY DATA SCIENCE COMMUNITY ALONG WITH APPLING THEIR SKILLS ON PRACTICAL ASSIGNMENTS AND PROJECTS ON THE USEFUL PLATFORMS ,

ITS WAS A NICE COURSE .

It's been a pleasure for doing this course at IBM via Coursera. Excellent experience on this course. Projects are good to do and peer to peer submission is good. I like to go for other course on it.

This course is awsum and well explained. Some portions needs to be updated based on the current platforms. i.e Lab instructions should be inline with the current screen, e.g. Watson Studio.

Thanks !

Es un curso excelente, muy bien explicado y te va llevando de la mano. No requieres amplios conocimientos, porque te explican paso a paso cada tema que se aborda.

muchas gracias por la oportunidad!

Good to overview web-based data analyzing tools like Jupyter notebook, Zeppelin notebook and R studio IDE by getting access to virtual environments like Skills Network Labs and IBM Watson studio.

All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.

Great course! The course gives you a good overview about the tools and technologies of data science. The course also gives the opportunity to practice in the environments of the main tools.

Provided an encompassing introduction to the variety of Open Source and Commercial tools available to conduct Data Science, and great interactive labs to get started working with those tools!

Es un buen curso para esclarecer cuales son las herramientas que se deben dominar en la profesión. Funciona bien como introducción practica a calentar motores para ver que es lo que se viene.

The videos in this course are outdated and the content in videos doesn't match with the reality because the videos are old and Watson studio got updated. Course content must be updated ASAP.

Useful, quite a bit of practical. I've learned a lot of new tools and possibilities to use them for free; although based on IBM infrastructure, they're open source and may be used everywhere.

Does a good job of showing areas to obtain access to use Python, R, and Scala. You can however tell they're pushing IBM products when in reality there are many other options such as Anaconda.

I could learn how one can use IBM Watson in the entire Life cycle of Data Science and automate every mundane task which ultimately speeds up the Data Science workflow to a significant level.

very good structured and easy explained. most important: you can practice the basics of a (juoiter,zeppelin and RStudio IDE) lab while the instructor is giving an overview of the environment

Great course to gain knowledge from.One must spend a good amount of time in order to learn the basic tools of data science and thus won't find it difficult to work in data science in future.

Lots of great information. Seems to be an issue with accessing Watson and completing the last assignment. Instructors allow you to use a quick and easy fix by submitting it through GitHub!